Real-world data to teach robots everyday tasks.
Embodied AI learns from people doing real things in real places. Labelix builds the environments and fields the people to capture it, from cleaning, dishwashing and folding laundry to assembly and any task you define, at the scale your models need.
- Independent & neutral
- In-house · NDA-bound
- Scoped to your project
- Never crowdsourced
The real-world data your robots actually need.
We build the environment, and bring the people to it.
Any environment, at any scale
From a single fully furnished, authentically styled US-style home to hundreds of them running in parallel. Kitchens, living spaces, retail floors and workshops: whatever your vision needs, dressed to feel real.
- Furnished homes & rooms
- Kitchens & cleaning settings
- Retail & workspace setups
- Hundreds of variations in parallel
The right people for the task
Through our wide connections across Bangladesh's universities, we recruit the full range you need, from no formal qualification all the way up to PhDs, dedicated to your project and ramped quickly.
- No-qualification to PhD range
- Recruited to your spec
- Hundreds to thousands of people
- Dedicated, not a rotating crowd
The bottleneck isn't the model. It's the labels behind it.
Real-world embodied data barely exists off the shelf, so you have to generate it from scratch.
Models need controlled variety: many environments, many people, consistent capture across all of them.
Staging realistic settings and coordinating people at scale is operationally heavy to run yourself.
A dedicated team — not a crowd you can't see.
Household & service robots · embodied-AI foundation models · manipulation & dexterity research · activity-recognition & video-understanding datasets.
We generate data that doesn't exist yet
Off-the-shelf embodied data is scarce. We build the environments and field the people to capture exactly the real-world activity your models need, made to spec rather than scavenged.
Independent & data-firewalled
No Big-Tech owner, no conflicted incumbent. Your project is run by vetted, dedicated people under signed NDAs in a controlled environment, never farmed out to a crowd.
Variety and volume, on one team
Many environments, a wide range of people, consistent capture across all of them. The same dedicated team scales with your project instead of resetting every batch.
Questions, answered straight.
Still have one? Tell us about your data and we'll scope a small paid pilot.
Physical or embodied AI data collection is the capture of real people performing real-world tasks — cleaning, cooking, folding laundry, object manipulation, assembly — so robots and embodied models can learn them. Labelix builds the staged environments and fields the people to capture this data to your spec, at scale.
Everyday physical tasks performed by real people: cleaning, dishwashing, laundry and folding, cooking-adjacent kitchen work, object manipulation and handling, assembly and construction, and any custom scenario you script. We scope the activities, the setup and the capture format to your project.
We stage them to your spec, for example a fully furnished, authentically styled home, kitchen, retail floor or workshop, and can stand up many distinct environments in parallel so your data has the variety models need. Whatever vision you have, we translate it into a real environment at scale.
Dedicated people we recruit for your project, never an anonymous crowd. Through our wide university network in Bangladesh we can source the full range you need, from people with no formal qualification up to PhDs, and ramp from hundreds to thousands.
Timing depends on the environments and headcount involved, so we scope it with you up front rather than quoting a fixed number. We start with a small paid pilot so you can see the quality and the environments firsthand before scaling.
Build the environment. Bring the people. Capture the data.
Start with a small paid pilot and see the environments and the quality firsthand before you scale. Independent, in-house, and scoped to your project.